Pr. Proserve Cloud Architect , Healthcare and Life Sciences

The Amazon Web Services (AWS) Professional Services (ProServe) team is seeking an experienced technology leader to serve as a Specialist ProServe Cloud Architect (PCA) within our Healthcare and Life Sciences (HCLS) practice. This is a role requiring deep expertise in R&D spanning both Research (drug discovery translational science) and Clinical Development (clinical trials regulatory submissions) and the ability to flex across both domains. The role focuses on data and context layer architectures that unlock scientific and clinical data for AI-native workflows powered by AI GenAI and Agentic AI.
In this position youll serve as both a deep domain expert and a hands-on solution architect counseling senior HCLS executives on designing AI-driven transformation programs that span the research-to-clinical development continuum e.g. data foundations ontology-orchestration architectures and AI data-readiness strategies. Youll develop innovative go-to-market (GTM) strategies and perspectives on how data and context layers knowledge graphs and Agentic AI unlock value from early discovery through clinical development creating repeatable solutions and accelerators that scale across Life Sciences customers.

Youll collaborate with colleagues across the ProServe HCLS team and external Partners working backwards from customer outcomes to design fit-for-purpose solutions and programs across R&D.

This role requires expertise in AI GenAI and Agentic AI applied to Life Sciences R&D / Clinical Development paired with experience in professional services and business development. The ideal candidate can flex seamlessly between research and clinical contexts understanding both the science and the regulated data landscape. You think big innovate focus on customer objectives execute at high standards and maintain continuous curiosity.


Key job responsibilities
- Serving as the practices dedicated specialist and deep domain expert in R&D including Amazon BioDiscovery and AI-native research designing and delivering solution architectures that solve complex customer problems across both domains
- Developing innovative GTM strategies offerings and accelerators for the data and context layer space spanning research and clinical identifying whitespace shaping new service offerings and positioning the practice to capture emerging demand across the R&D-to-clinical continuum
- Counseling HCLS executive customers to explore the art of the possible with AI-driven transformation across Research and Clinical Development pushing the frontiers of innovation to achieve breakthrough outcomes from discovery through late-stage trials
- Collaborating with internal teams to innovate AWS solutions services accelerators and demos that address evolving research and clinical data-readiness customer needs
- Designing complex scalable and secure data foundation ontology-orchestration and Agentic AI architectures on AWS to achieve customer business outcomes (CBOs) across Research and Clinical Development
- Driving large complex opportunities spanning research clinical or both from ideation through vision building and scoping solution architecture development all the way to sales closure owning technical qualification de-risking delivery and participating in the Sales-to-Delivery (S2D) motion
- Acting as a trusted advisor and thought leader to customers and internal colleagues on industry trends in R&D and clinical AI data and context architectures knowledge representation and emerging technologies across the Life Sciences landscape
- Leading senior engagement on the practices highest-potential opportunities including AI-native drug discovery programs clinical data platform modernization data foundation builds and enterprise ontology-orchestration initiatives across a portfolio of strategic Life Sciences accounts


About the team
About AWS:
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- 7 years of solving problems with technology in the Healthcare/Life Sciences Industry experience
- 7 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Bachelors degree in computer science mathematics statistics machine learning or equivalent quantitative field or Bachelors degree
- 7 years of working with Data & AI related technologies in Life Sciences R&D and Clinical Development contexts including knowledge graphs ontologies data lakes AI/ML GenAI and/or semantic data integration
- 7 years of experience driving professional services business development opportunity shaping or technical pre-sales for R&D and/or clinical data platforms AI/ML or digital transformation programs in pharma/biotech

- Masters degree or equivalent in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or experience with AWS Solutions including EC2 S3 Redshift EMR (or Hadoop)
- Significant experience in shaping large complex AI and data transformation programs in pharma/biotech Research & Clinical Development from ideation and prospecting through scoping and solution architecture development to sales closure with specific exposure to use cases such as target identification biological foundation models real-world evidence or research data harmonization
- Deep understanding of AWS services relevant to R&D workloads e.g. Bedrock AgentCore SageMaker Neptune Amazon BioDiscovery
- Deep knowledge and familiarity with regulatory and compliance frameworks relevant to R&D data (e.g. GxP 21 CFR Part 11 HIPAA GDPR) as well as data types and standards (e.g. FHIR)
- Excellent communication skills with the ability to translate complex R&D data architecture concepts for both scientific leaders and C-suite executives as part of pre-sales motion
- Deep familiarity with R&D technology ecosystems and vendors (e.g. Benchling Palantir Foundry Veeva Vault Databricks for Life Sciences) and how AWS complements or displaces them

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA San Diego - 182800.00 - 247300.00 USD annually
USA CA San Francisco - 210200.00 - 284300.00 USD annually
USA MA Boston - 182800.00 - 247300.00 USD annually
USA NJ Jersey City - 201000.00 - 272000.00 USD annually
USA NY New York - 201000.00 - 272000.00 USD annually
USA TX Austin - 182800.00 - 247300.00 USD annually
USA VA Arlington - 182800.00 - 247300.00 USD annually
USA WA Seattle - 182800.00 - 247300.00 USD annually